Name

Complexity Science Hub

Legal name

Complexity Science Hub

Website

https://csh.ac.at

Company type

Private

Founded year

2016

Operating status

Operating

Headcount range

101–250 employees

Ownership category

akta.pro rank

Product category

Scientific Research Institute

NAICS

Research and Development in the Physical, Engineering, and Life Sciences (54171), Scientific Research and Development Services (5417)

SIC

Services-Engineering, Accounting, Research, Management (8700)

akta.pro primary industry

Scientific Data Management & Data Platforms (SDMS/Data Lakehouse for R&D) (HLAGAJAC)

akta.pro secondary industry

Network Discovery, Topology Mapping & Inventory/CMDB (HDAFAMAF)

Keywords

• Complexity science research
• Network science analytics
• Data-driven research
• Academic research institute
• Interdisciplinary science education

Headquarters

HQ city

Vienna

HQ country

Austria

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales

Revenue model

1. Core Funding (OeNB): Core institutional funding from the Austrian National Bank (Oesterreichische Nationalbank) supporting foundational research operations and long-term scientific programs.
2. Government Research Grants: Project-based funding from Austrian federal ministries (BMK, BMIMI) and research agencies (FFG) for specific research initiatives in green transition, circular economy, systemic risk, and supply chain science.

Distribution channels2 records

Marketing channels6 records

Core offering

Complexity Science Hub (CSH) is a non-profit scientific research institute that conducts interdisciplinary complexity science research across 15 thematic areas (including urban sustainability, healthcare, digital currency ecosystems, supply chain science, and AI/machine learning) and offers structured postdoctoral, graduate, visiting researcher, winter school, and internship programs. It develops proprietary analytical methodologies such as Fitness Centrality and Species Vulnerability Mapping, hosts the annual Econophysics Colloquium, and disseminates outputs through open-access publications, visualizations, and events.

Product overview

Complexity Science Hub (CSH) is a research institute that functions as a platform for complexity science research, education, and collaboration rather than a commercial product company. The core offering consists of research programs spanning 15 thematic areas (Research Topics) including AI & Machine Learning, Data Analytics, Urban Sustainability, and Digital Currency Ecosystems. Education products include PostDoc and Graduate Programs within the Digital Innovation School. CSH produces research methodologies and tools such as the Fitness Centrality measure for network analysis and Species Vulnerability Mapping for ecological systems. Annual events include the Econophysics Colloquium workshop series. Research outputs are disseminated through publications, visualizations, and collaborative projects with partner institutions.

Differentiator

Problem solved

Functional benefit

Products and services

• PostDoc Program
• Graduate Program
• Visiting Researchers Program
• Winter School
• Internships
• Econophysics Colloquium

Quantifiable outcome

• Fitness centrality outperforms existing methods by approximately 15% in identifying crucial nodes whose removal would most disrupt a network
• +1 more outcomes

Segments1 record

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability7 records

Feature3 records

Partnerships

Six partnerships are on record, tiered minor.

• University of KonstanzminorStrategic or Co-development PartnerCSH researcher Giordano De Marzo is also a postdoctoral researcher at the University of Konstanz, indicating an academic research collaboration for joint research output including the species vulnerability and ecosystem fragility study.
• IMT School for Advanced Studies LuccaminorStrategic or Co-development PartnerEmanuele Calò is a visiting PhD student from IMT School for Advanced Studies Lucca, pursuing a doctoral degree in Complex Systems and Networks. This academic exchange contributes to the Hub's research in network models applied to economic and ecological systems.
• Santa Fe InstituteminorStrategic or Co-development PartnerSeveral CSH faculty and collaborators have affiliations with the Santa Fe Institute. Fabio Caccioli was a Postdoctoral Fellow at the Santa Fe Institute. The Santa Fe Institute is a leading institution in complexity science with which CSH shares research alignment.
• University College London (UCL)minorStrategic or Co-development PartnerFabio Caccioli, a speaker at the CSH Econophysics Colloquium 2024, is Professor of Complex Systems at UCL. CSH and UCL collaborate through shared faculty and research presentations at Hub events.
• University of ViennaminorStrategic or Co-development PartnerSeveral CSH researchers and collaborators are affiliated with the University of Vienna. The 9th IEEE European Symposium on Security and Privacy workshop on crypto-assets was held at the University of Vienna.
• Austrian National Bank (OeNB)minorStrategic or Co-development PartnerOeNB co-hosted a Freitagsseminar at the Complexity Science Hub (e.g., Stefan Kitzler's talk on The Governance of Decentralized Autonomous Organizations), demonstrating ongoing collaboration beyond core funding.

Scale indicators5 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• New England Complex Systems Institute: NECSI is a research institute dedicated to complex systems science with similar interdisciplinary approaches spanning economics, ecology, and social systems. Both institutes operate as dedicated complexity science centers producing publications and educational content.
• Institut des Systèmes Complexes de Paris Île-de-France: ISC-PIF is a French research unit dedicated to complexity science research across multiple institutions. It is directly comparable to CSH in mission, methodology, and institutional structure as a dedicated European complexity science center.
• ISI Foundation: ISI Foundation in Turin is a European research center focused on complexity science, network science, and data-driven research. It is highly comparable to CSH in scope, methodology (network and data science), and European institutional positioning.
• Santa Fe Institute: The Santa Fe Institute is the leading US research center for complexity science, and is explicitly referenced in CSH's data as having shared faculty and overlapping research themes. Both institutes focus on interdisciplinary complex systems research, network science, and publish in similar top-tier venues, making SFI the most directly comparable peer.
• Northwestern Institute on Complex Systems (NICO): NICO at Northwestern University is a dedicated complexity science research center with similar interdisciplinary focus on networks, complex systems, and data-driven analysis. Comparable in mission and structure to CSH though smaller in scale.
• Vermont Complex Systems Center: The Vermont Complex Systems Center at the University of Vermont conducts research and education in complexity science. It is comparable to CSH as a dedicated complexity research and education center with similar methodology and scope.
• Center for Complex Networks Research: CCNR at Northeastern University is a leading network science research center under Albert-László Barabási. It is directly comparable to CSH's network science research agenda, with overlapping methodologies in network analysis and centrality measures.

Emerging players

• Institute for New Economic Thinking: INET supports academic research challenging conventional economic thinking, with thematic overlap to CSH's Transforming Economies and Digital Currency Ecosystems research. It is a partial peer in the economics-of-complex-systems intersection though broader in economic policy focus.

Broad incumbents

• Max Planck Institute for Dynamics and Self-Organization: MPIDS is a major German research institute within the Max Planck Society conducting research on complex systems, network science, and statistical physics. It is a larger, better-resourced incumbent with overlapping methodological approaches but broader scope across physical and biological complex systems.
• ETH Zurich Center for Complexity: ETH Zurich's Center for Complexity conducts research on complex systems across physics, biology, and social science. As part of a top global university, it is a broader incumbent with greater resources but overlapping research themes in complexity science.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat3 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xx.com/CSHVienna
• Facebookfacebook.com/CSHVienna
• LinkedInlinkedin.com/company/complexity-science-hub

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles11 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Complexity Science Hub